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Paper Citation Record · LEDGER

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.06303.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.06303 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:56:04.189968Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

33 of 33 outbound references displayed

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Outbound references

Observation 6c1ee6ce-cbc7-4ff2-8b37-ffce00e4096c · outbound

This paper cites The deterministic estimation (DE) baseline is compared with Monte Carlo (MC) estimation using varying sample sizes (n= 5∼20 ).

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction The deterministic estimation (DE) baseline is compared with Monte Carlo (MC) estimation using varying sample sizes (n= 5∼20 )

Reference 2

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Observation 9e18ab5d-6694-49f8-9ce4-c32e9058668f · outbound

This paper cites an unresolved cited work.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 3

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Observation 646454b5-851f-48c1-aabb-ac141b58c1a4 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Classifier-Free Diffusion Guidance

Reference 6

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Observation df6e904d-e8f0-4fce-821d-5b6ac60418b8 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 9

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Observation 96900fec-1ccf-4aad-9d40-8e47a01b9b74 · outbound

This paper cites Large Language Diffusion Models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Large Language Diffusion Models

Reference 10

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Observation 7b9d20c5-adc8-4415-a12a-c58400a791d7 · outbound

This paper cites Unlocking guidance for discrete state-space diffusion and flow models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unlocking guidance for discrete state-space diffusion and flow models

Reference 11

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Observation 644ed457-308f-4a77-9f39-edbe8d3d0fa4 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 12

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Observation e574da2a-b11b-4f6a-94ec-28853fa3a82d · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 13

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Observation db37910d-3e5e-4f02-a135-5c19acc842e9 · outbound

This paper cites Simple guidance mechanisms for discrete diffusion models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Simple guidance mechanisms for discrete diffusion models

Reference 15

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Observation 8ff30e73-3b5b-43d6-b7c4-a542f64ca34a · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

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Observation b756e3c9-323c-4e53-9781-79b803499f0d · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 17

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Observation 17a33338-d0df-48c3-9c81-e06098b029f6 · outbound

This paper cites Fine-tuning discrete diffusion models via reward opti- mization with applications to dna and protein design.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Fine-tuning discrete diffusion models via reward opti- mization with applications to dna and protein design

Reference 18

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Observation df2eb336-8eb9-4b8f-8c61-3370f936d8f2 · outbound

This paper cites Aligning protein generative models with experimental fitness via direct preference optimization.bioRxiv, pp.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Aligning protein generative models with experimental fitness via direct preference optimization.bioRxiv, pp

Reference 19

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Observation 13f77cc8-d0f7-431d-ae67-c6960b0f5eeb · outbound

This paper cites Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling

Reference 20

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Observation bbc32442-2b64-4dea-818a-868c66a8a1ba · outbound

This paper cites an unresolved cited work.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 21

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Observation 076b1d8b-6207-40fa-bdcf-a5c27f7c0910 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 22

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Observation 050bf161-e7a8-4fee-9280-28fd82c53803 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 23

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Observation 5bd89e0c-0a5e-41b6-a389-02927a96f52b · outbound

This paper cites Recently, Ou et al.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Recently, Ou et al

Reference 24

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Observation 0f43b2ea-30b4-483b-a836-7e05274e1324 · outbound

This paper cites Unlike these approaches, our method adopts aplug-and-playfashion.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unlike these approaches, our method adopts aplug-and-playfashion

Reference 26

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Observation 1779f09e-4426-42e4-8978-ff83b5b7312c · outbound

This paper cites SMC is a general-purpose sampling framework that maintains a population of particles and applies filtering operations during generation to approximate the target distribution.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction SMC is a general-purpose sampling framework that maintains a population of particles and applies filtering operations during generation to approximate the target distribution

Reference 28

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Observation 556bb296-b220-487e-85db-40a6d031ee65 · outbound

This paper cites SVDD is a derivative-free guidance method for diffusion models.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction SVDD is a derivative-free guidance method for diffusion models

Reference 29

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Observation ea276ad1-3185-421f-98ea-2847044b3c35 · outbound

This paper cites TFG-Flow was originally proposed as a training-free guided multimodal flow model that jointly generates continuous and discrete components.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction TFG-Flow was originally proposed as a training-free guided multimodal flow model that jointly generates continuous and discrete components

Reference 30

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Observation f20b2934-db46-4567-b6ca-57be4133d32a · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 2000

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Observation 79d33c1f-8a68-4db2-80d0-47001c43c8cb · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Training diffusion models with reinforcement learning

Reference 2013

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Observation 633906d8-a365-48af-8c28-969def1f3366 · outbound

This paper cites Steering masked discrete diffusion models via discrete denoising posterior prediction.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Steering masked discrete diffusion models via discrete denoising posterior prediction

Reference 2014

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Observation b4c08143-ec76-4ba6-ad36-c14e951ba8f2 · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction As reported in Tab

Reference 2015

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Observation a746590c-8519-47e7-b21b-de99b5802ac4 · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Crafting papers on machine learning

Reference 2017

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Observation 27a00e1c-0978-43c4-bb3f-dae6c1b03a82 · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Manifold preserving guided diffusion

Reference 2021

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Observation ed4a91c5-28f3-4cff-8b5a-68bd3deaa5ba · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 2022

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Observation a18c278b-74ee-4d9f-80a4-611cb056410d · outbound

This paper cites Directly fine-tuning diffusion models on differentiable rewards.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Directly fine-tuning diffusion models on differentiable rewards

Reference 2023

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Observation a14b6f03-e278-4448-90ec-83cb21f6e429 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work

Reference 2024

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Observation 24577a71-fe8d-4d6a-bae9-2ef40443dd9e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2025

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Observation e869edf8-d7c3-4a32-bd39-e9f2c84af110 · outbound

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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction T., Klasky, M

Reference 2026

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